Safeagent

io.github.azender1由 GitHub 账号 azender1 发布v0.1.22更新于 Oct 27, 2026

Exactly-once execution guard for AI agents. Prevents duplicate payments and webhooks on retry.

已验证STDIO仅桌面开发者工具安全与监控

概览

AI 生成的概览

本地 Python 执行守卫,让助手按稳定的 request_id 认领、结算和审计操作,避免重试时重复执行。

可以做什么
  • 以稳定的 request_id 认领操作,首次返回 PROCEED,重复调用返回 SKIP
  • 操作执行后结算认领,将状态从 PENDING 推进到 COMMITTED 并保存结果
  • 按代理、操作类型、状态或时间范围查询认领历史
  • 使用每个 IP 限 10 次的免费测试认领接口
  • 改用内嵌 SQLite 表在本地运行同样的认领逻辑,无需网络调用
适用场景
适用于代理会重试付款、邮件、Webhook、下单或资源开通等有副作用的步骤,且重复执行代价高昂的场景。也适合希望在外部调用前后留下持久认领记录,或在 Python 代理中直接使用本地 SQLite 守卫模式的开发者。
运行要求
以本地 Python 包形式通过 stdio 运行(pip install safeagent-exec-guard)。托管 API 需通过网络访问一个公开端点;未声明任何 API 密钥、请求头或环境变量。README 另给出无需网络调用的内嵌 SQLite 方案。
安装前请注意
README 说明其保证仅覆盖本地认领状态,而非外部结果:PENDING 表示未决,端到端恰好一次仍需依赖服务商原生幂等或对账。request_id 与操作元数据会发送到第三方托管服务,已完成操作还会锚定到外部账本。免费测试接口每个 IP 限 10 次。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Safeagent,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

SafeAgent — Execution Guard for AI Agents

[Mycelium Provider]

POST /claim · safeagent-production.up.railway.app
Dashboard: safeagent-dashboard-2.vercel.app

bash
# Claim an action — free, no payment header requiredcurl -s -X POST https://safeagent-production.up.railway.app/claim \  -H "Content-Type: application/json" \  -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'# → {"status":"PROCEED","request_id":"..."}
# Settle after the action firescurl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \  -H "Content-Type: application/json" \  -d '{"result":{"status":"completed"}}'# → {"status":"committed","request_id":"..."}
# Retry with the same request_id — returns SKIPcurl -s -X POST https://safeagent-production.up.railway.app/claim \  -H "Content-Type: application/json" \  -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'# → {"status":"SKIP","request_id":"...","existing":{...}}
# Free test endpoint — same logic, limited to 10 calls per IPcurl -s -X POST https://safeagent-production.up.railway.app/claim/test \  -H "Content-Type: application/json" \  -d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:bar:2026-05-19T13:31:00-04:00"}'# → {"status":"PROCEED","request_id":"...","test":true,"calls_remaining":9}

Indexed on Bazaar.

Measured CrewAI retry A/B

A credential-free experiment exercises CrewAI 1.15.21's actual same-process `ToolUsage._use` retry against SafeAgent 0.1.23. Across 30 post-effect/pre-confirmation trials, the unguarded path recorded two effects per logical action; the SafeAgent path recorded one effect and retained a `PENDING` claim for reconciliation.

Scope: scripted deterministic LLM and harmless effect recorded through an out-of-process capability-separated ledger. This does not validate process death, fresh-worker recovery, a real external provider, or SafeAgent Control reconciliation.

Method, source, tests, hashes, and 180-trial evidence

SafeAgent Control founding pilots

Two bounded, read-only reconciliation pilots are open for outside operators. There is no fee unless SafeAgent Control identifies a previously unknown, reproducible discrepancy that the operator agrees is actionable.

Scope and outcome-based terms



Mycelium Trails

This implementation is a Mycelium Provider. Each completed action submits a trail to ARGENTUM with a content-addressed action_ref (JCS+SHA-256 over the four preimage fields). The returned mycelium_trail_id is included in every receipt for independent verification.


Verified on Soma

SafeAgent is the first verified external integrator on Soma — the Mycelium agent catalog. Every production execution is anchored on-chain via Mycelium Trails and independently verifiable without going through the operator.


What it does

SafeAgent is a durable execution-claim guard. It suppresses concurrent and repeated attempts that use the same stable request_id, and preserves unresolved attempts for reconciliation instead of silently retrying them.

Every action gets a stable request_id derived from the logical action. A new key returns PROCEED; a settled key returns SKIP with its stored result. A key left PENDING after a timeout or crash remains blocked because local state alone cannot prove whether the provider accepted the action. Recover it only after checking provider evidence or using provider-native idempotency.

State machine: CLAIMABLE → PENDING → COMMITTED; later claims observe PENDING or SKIP.

Common failure modes SafeAgent prevents:

ScenarioWithout SafeAgentWith SafeAgent
Stripe charge times out after acceptanceRetry may charge twiceSame key remains PENDING until provider reconciliation
Welcome email on signup retriedUser gets two welcome emailsSecond send returns SKIP
Webhook delivered twice (Stripe/GitHub/Twilio guarantee at-least-once)Event processed twiceSecond processing returns SKIP
Workspace provisioned on retryTwo workspaces createdSecond provision returns SKIP
AI agent tool call retried after crashDuplicate side effectSame key stays blocked; outcome is explicitly unresolved

Guarantee boundary: SafeAgent proves local claim state, not the external outcome. COMMITTED means the caller settled a receipt. PENDING means unresolved—not failed and not confirmed successful. End-to-end exactly-once effects require provider-native idempotency and/or reconciliation with the provider's authoritative records.


The stack

SafeAgent is the durable claim and duplicate-suppression layer in an agent execution integrity stack:

Polaris (commit-gated authorization)└── AgentGraph safety verdict (pre-execution safety gate)    └── SafeAgent (durable claim guard)  ← you are here        └── Mycelium Trails (on-chain anchor)

Each layer is independently authored and independently verifiable. None trusts the others.


API

POST /claim

Gate an action. Returns PROCEED on first call, SKIP on any repeat.

Request body:

json
{  "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00",  "action": "order"}
  • request_id — stable identifier derived from what the agent is doing. Same inputs = same key.
  • action — the action type being gated (e.g. payment.send, email, trade, order)

Response:

json
{ "status": "PROCEED", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00" }

Retry with the same payload:

json
{ "status": "SKIP", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "existing": {...} }

POST /settle/{request_id}

Settle a claim after the action fires. Advances status from PENDING to COMMITTED.

bash
curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \  -H "Content-Type: application/json" \  -d '{"result":{"status":"completed","txid":"abc123"}}'
json
{ "status": "committed", "request_id": "..." }

POST /claim/test

Free test endpoint — same logic, no payment required. Limited to 10 calls per IP total.

bash
curl -s -X POST https://safeagent-production.up.railway.app/claim/test \  -H "Content-Type: application/json" \  -d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:6:bar:2026-05-19T13:31:00-04:00"}'
json
{ "status": "PROCEED", "request_id": "...", "test": true, "calls_remaining": 9 }

GET /audit

Full claim history. Filter by agent_id, action, status, or timestamp range.

bash
curl "https://safeagent-production.up.railway.app/audit?agent_id=bot-1&status=COMMITTED"
json
{"items": [...], "total": 5, "limit": 100, "offset": 0}

Parameters: agent_id, action, status, from_ts, to_ts, limit (max 1000), offset.


Integration

Python

python
import requests
def claim(request_id: str, action: str) -> dict:    r = requests.post(        "https://safeagent-production.up.railway.app/claim",        headers={"Content-Type": "application/json"},        json={"request_id": request_id, "action": action}    )    return r.json()  # {"status": "PROCEED"|"SKIP", "request_id": "..."}
def settle(request_id: str, result: dict) -> dict:    r = requests.post(        f"https://safeagent-production.up.railway.app/settle/{request_id}",        headers={"Content-Type": "application/json"},        json={"result": result}    )    return r.json()
# Usageresponse = claim("payment:customer-123:invoice-456", "payment.send")if response["status"] == "PROCEED":    result = send_payment(...)    settle("payment:customer-123:invoice-456", {"status": "completed"})elif response["status"] == "SKIP":    print("Already executed, skipping")

SaaS (Stripe / email / webhooks)

For production Stripe PaymentIntents, use the permit-gated adapter documented in SafeAgent Boundary. It keeps the Stripe credential outside the agent, passes the consumed permit ID to Stripe as the native idempotency key, persists the provider correlation, verifies webhook signatures and supports authoritative read-back. The simple claim/settle snippet below illustrates the generic API only; it is not the provider adapter.

Run the bounded test-mode example in examples/stripe_payment_intent_guard.py. The verification record documents the observed end-to-end result: one successful Stripe sandbox PaymentIntent, an exact replay blocked before provider dispatch, and authoritative reconciliation by retrieve.

python
import requests
def safe_stripe_charge(customer_id, amount, idempotency_key):    request_id = f"stripe:charge:{customer_id}:{idempotency_key}"
    response = requests.post(        "https://safeagent-production.up.railway.app/claim",        headers={"Content-Type": "application/json"},        json={"request_id": request_id, "action": "stripe_charge"}    ).json()
    if response["status"] == "SKIP":        return response.get("existing")
    charge = stripe.PaymentIntent.create(        amount=amount,        currency="usd",        customer=customer_id,        idempotency_key=request_id,    )    requests.post(        f"https://safeagent-production.up.railway.app/settle/{request_id}",        headers={"Content-Type": "application/json"},        json={"result": {"charge_id": charge.id}}    )    return charge

Webhook deduplication — stable event IDs suppress repeated processing after a settled result; unresolved PENDING events stay blocked for investigation:

python
def handle_stripe_webhook(event):    response = requests.post(        "https://safeagent-production.up.railway.app/claim",        headers={"Content-Type": "application/json"},        json={"request_id": event["id"], "action": "stripe_event"}    ).json()
    if response["status"] == "SKIP":        return {"ok": True}
    provision_subscription(event)    requests.post(        f"https://safeagent-production.up.railway.app/settle/{event['id']}",        headers={"Content-Type": "application/json"},        json={"result": {"processed": True}}    )

CrewAI

python
from crewai import Agentimport sqlite3
guard_con = sqlite3.connect("safeagent_orders.db", check_same_thread=False)# ... same guard pattern, keyed on tool_name + input hash + session_id

PR crewAIInc/crewAI#5822 adds pluggable idempotency backends. SafeAgent's SQLite schema is compatible.

WisePick

WisePick is a deterministic routing layer for agent runtimes. The integration splits capability selection from durable, idempotent execution — WisePick answers what and which provider, SafeAgent answers whether this logical work already ran.

Stack:

WisePick /v1/decide → DashClaw → SafeAgent → Mycelium Trails → Base/Arbitrum

Local guard (embedded SQLite)

The same durable claim behavior without the network call. Drop this into any Python agent:

python
import jsonimport sqlite3
_SA_DB = "safeagent_orders.db"_sa_con = sqlite3.connect(_SA_DB, check_same_thread=False)_sa_con.execute("""CREATE TABLE IF NOT EXISTS orders (    request_id TEXT PRIMARY KEY,    result     TEXT,    status     TEXT DEFAULT 'PENDING',    created_at TEXT DEFAULT (datetime('now')))""")_sa_con.commit()
def place_order_with_guard(symbol, qty, side, bar_ts):    request_id = f"order:{symbol}:{side}:{qty}:{bar_ts}"
    cur = _sa_con.execute(        "INSERT OR IGNORE INTO orders (request_id, status) VALUES (?, 'PENDING')",        (request_id,)    )    _sa_con.commit()
    if cur.rowcount == 0:        row = _sa_con.execute(            "SELECT status, result FROM orders WHERE request_id = ?",            (request_id,)        ).fetchone()        if row and row[0] == 'COMMITTED':            print(f"SAFEAGENT SKIP: {request_id}")            return row[1]        raise RuntimeError(            f"SAFEAGENT BLOCKED: unresolved PENDING claim for {request_id}"        )
    result = place_order(symbol, qty, side)
    _sa_con.execute(        "UPDATE orders SET status='COMMITTED', result=? WHERE request_id=?",        (json.dumps(str(result)), request_id)    )    _sa_con.commit()    return result

Case study: crash-retry duplicate prevention

A trading bot fires a market order to buy 6 shares of TQQQ. The broker accepts it. The bot crashes before updating state. On restart — same signal, same bar — the bot fires again. The broker fills it twice. The agent now holds 12 shares when it intended to hold 6.

This is not theoretical. It happens on any unhandled exception between order submission and state persistence.

SafeAgent derives a stable key before touching the broker:

request_id = "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00"

First call: PROCEED. Side effect fires. Settle writes COMMITTED.
Crash and retry: SKIP. Broker never touched again.


Case study: live duplicate blocking — May 21, 2026

Six confirmed SKIP events from a live session on the full stack: DashClaw, SafeAgent, Mycelium Trails, Base/Arbitrum, broker Alpaca.

  • 0942 ET: duplicate buy TQQQ qty=6 blocked, $452
  • 0947 ET: duplicate add TQQQ qty=6 blocked, $452
  • 0949 ET: duplicate sell TQQQ qty=12 on flip, $902
  • 1000 ET: duplicate entry TQQQ qty=6 blocked, $454
  • 1014 ET: duplicate sell TQQQ qty=18 on V20 flip, $1,350
  • 1106 ET: duplicate SQQQ add during scale-in, $43

Full session data: https://gist.github.com/azender1/b9112b6519c935df4a75cb05cd250e26


Conformance

SafeAgent participates in the A2A cross-implementation conformance corpus. Byte-verified fixtures across four independent implementations:

  • kenneives (agentgraph) — verifier-attestation-v0: 30/30 ✓
  • evidai (LemonCake) — gated-preflight-v1: 33/33 ✓
  • haroldmalikfrimpong-ops (agentid) — independent verifier ✓
  • SafeAgent — claim-lifecycle conformance v1.1 ✓

A2A #1920 closed. All four implementations satisfy freshness and replay requirements.


Canonical action_ref derivation

JCS (RFC 8785), aligned with argentum-core, Nobulex, and APS:

python
import hashlibimport rfc8785
def compute_action_ref(    agent_id: str,    action_type: str,    scope: str,    timestamp: str,  # RFC 3339 UTC, 3-digit ms: "2026-05-15T10:00:00.123Z") -> str:    payload = {        "agent_id": agent_id,        "action_type": action_type,        "scope": scope,        "timestamp": timestamp,    }    canonical = rfc8785.dumps(payload)    return hashlib.sha256(canonical).hexdigest()

timestamp is an RFC 3339 UTC string with exactly 3 millisecond digits. The trailing Z is mandatory.

Conformance fixtures: giskard09/argentum-core tag action-ref-v1.0


Deployment

Railway · Serverless OFF · always-on
PyPI: pip install safeagent-exec-guard
npm: npm install n8n-nodes-safeagent
MCP Registry: io.github.azender1/safeagent
Dashboard: safeagent-dashboard-2.vercel.app


License

Apache-2.0

来源:README.md,提交 2dfd694

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.22最新Sep 16, 2026

评分

已满足适用检查项的 50%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分

    请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。

  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分